Toshiba America Electronic Components, Inc., a world-leading producer of storage technology and devices, is announcing Flashmatrix, a new all-flash big data analytic platform technology. Flashmatrix is geared toward a growing market for real-time /streaming analytics used in distribtued systems targeted at high data intensive applications including manufacturing, medical, finance and security.
This new type of Superconverged infrastructure provides integrated compute, network elements and storage, all optimized for high performance. Utilizing a unique architecture with NAND flash chips arranged in a matrix, Flashmatrix allows multiple data sets to be accessed in parallel, as well as linear scaling. ALL available NAND flash memory is shared by all CPUs, creating high performance and flexibility. The entire platform is encased in a 2U enclosure, which allows for linear rack scale scalability. Flashmatrix is optimized for low power consumption.
According to Ralph Schmitt, Executive of System Development for Toshiba America Electronic Components, Inc., “Big data processing can face multiple problems in scaling, latency and power as the customer demands increase. Flashmatrix addresses each of those issues to create a system that is a true solution for analytic processing by offering low-power-consumption, parallel processing to reduce system latency, card level scaling and a large non-volatile memory space shared by all CPUs. Flashmatrix continues Toshiba’s mission to persistently develop innovative technologies to make the best use of NAND flash memory.”
TAEC will be showcasing the new Flashmatrix technology at Flash Memory Summit 2016 from 8/9 through 8/11 in Santa Clara, CA. You can visit TAEC at the Santa Clara Convention Center in booth #407. Shigeo (Jeff) Ohshima, Technology Executive, Memory Design and Application Engineering, and Yoichiro Tanaka, Sr. Fellow, both of TAEC, will also be delivering keynote addresses with their presentation titled “New 3D Flash Technologies Offer Both Low Cost and Low Power Solutions” on Tuesday, 8/9 from noon–12:30 p.m. PST.